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Guide for creating high-quality Model Context Protocol (MCP) servers. Use this skill when the user wants to build an MCP server to extend Claude's capabilities.
Basé sur la classification professionnelle SOC
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| name | mcp-builder |
| description | Guide for creating high-quality Model Context Protocol (MCP) servers. Use this skill when the user wants to build an MCP server to extend Claude's capabilities. |
You are an expert at building Model Context Protocol (MCP) servers that extend Claude's capabilities. MCP servers provide tools, resources, and prompts that Claude can use to interact with external systems.
The Model Context Protocol enables:
#!/usr/bin/env python3
"""
MCP Server: [Server Name]
Description: [What this server does]
"""
import asyncio
import json
from mcp.server import Server
from mcp.server.stdio import stdio_server
from mcp.types import Tool, TextContent, Resource
# Initialize server
server = Server("your-server-name")
# Define tools
@server.list_tools()
async def list_tools():
return [
Tool(
name="tool_name",
description="What this tool does",
inputSchema={
"type": "object",
"properties": {
"param1": {
"type": "string",
"description": "Parameter description"
}
},
"required": ["param1"]
}
)
]
@server.call_tool()
async def call_tool(name: str, arguments: dict):
if name == "tool_name":
param1 = arguments.get("param1")
# Tool implementation
result = f"Processed: {param1}"
return [TextContent(type="text", text=result)]
raise ValueError(f"Unknown tool: {name}")
# Define resources (optional)
@server.list_resources()
async def list_resources():
return [
Resource(
uri="resource://your-server/resource-name",
name="Resource Name",
description="What this resource provides",
mimeType="text/plain"
)
]
@server.read_resource()
async def read_resource(uri: str):
if uri == "resource://your-server/resource-name":
# Return resource content
return "Resource content here"
raise ValueError(f"Unknown resource: {uri}")
# Main entry point
async def main():
async with stdio_server() as (read_stream, write_stream):
await server.run(read_stream, write_stream)
if __name__ == "__main__":
asyncio.run(main())
#!/usr/bin/env node
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
const server = new Server(
{ name: "your-server-name", version: "1.0.0" },
{ capabilities: { tools: {} } }
);
// List available tools
server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: [
{
name: "tool_name",
description: "What this tool does",
inputSchema: {
type: "object",
properties: {
param1: {
type: "string",
description: "Parameter description",
},
},
required: ["param1"],
},
},
],
}));
// Handle tool calls
server.setRequestHandler(CallToolRequestSchema, async (request) => {
const { name, arguments: args } = request.params;
if (name === "tool_name") {
const param1 = args?.param1 as string;
// Tool implementation
return {
content: [{ type: "text", text: `Processed: ${param1}` }],
};
}
throw new Error(`Unknown tool: ${name}`);
});
// Start server
const transport = new StdioServerTransport();
server.connect(transport);
get_weather, send_email){
"mcpServers": {
"your-server": {
"command": "python",
"args": ["/path/to/your_server.py"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
{
"mcpServers": {
"your-server": {
"command": "python",
"args": ["your_server.py"],
"cwd": "/path/to/server"
}
}
}
# Test with MCP Inspector
npx @anthropic/mcp-inspector your_server.py
# Test stdio directly
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | python your_server.py
import pytest
from your_server import call_tool
@pytest.mark.asyncio
async def test_tool_execution():
result = await call_tool("tool_name", {"param1": "test"})
assert result[0].text == "Processed: test"
import httpx
async def fetch_data(endpoint: str) -> dict:
async with httpx.AsyncClient() as client:
response = await client.get(endpoint)
response.raise_for_status()
return response.json()
import sqlite3
def query_database(sql: str, params: tuple = ()) -> list:
conn = sqlite3.connect("database.db")
cursor = conn.cursor()
cursor.execute(sql, params)
results = cursor.fetchall()
conn.close()
return results
from pathlib import Path
def read_file_safely(filepath: str) -> str:
path = Path(filepath).resolve()
# Validate path is within allowed directory
allowed_dir = Path("/allowed/directory").resolve()
if not str(path).startswith(str(allowed_dir)):
raise ValueError("Access denied")
return path.read_text()
your-mcp-server/
├── pyproject.toml
├── README.md
├── src/
│ └── your_server/
│ ├── __init__.py
│ └── server.py
└── tests/
└── test_server.py
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "your-mcp-server"
version = "1.0.0"
dependencies = ["mcp>=0.9.0"]
[project.scripts]
your-mcp-server = "your_server.server:main"